EMF
BCI MI framework to classifiy brain signals using a multimodal decission making phase, with an addtional differentiation of the signal.
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Motor Brain Decoding is fundamental task for building motor brain computer interfaces (BCI).
Progress in predicting finger movements based on brain activity allows us to restore motor functions and improve rehabilitation process of patients.
관련 논문에서 소개한 기법입니다. 이 태스크에서의 평가 여부는 평가 결과에서 확인하세요.
BCI MI framework to classifiy brain signals using a multimodal decission making phase, with an addtional differentiation of the signal.
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
The Enhanced Fusion Framework proposes three different ideas to improve the existing MI-based BCI frameworks. Image source: Fumanal-Idocin et al.
Motor-Imagery-Based Brain Computer Interface using Signal Derivation and Aggregation Functions
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.